Overview
Dataset statistics
| Number of variables | 26 |
|---|---|
| Number of observations | 10687 |
| Missing cells | 31363 |
| Missing cells (%) | 11.3% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 2.1 MiB |
| Average record size in memory | 208.0 B |
Variable types
| DateTime | 1 |
|---|---|
| Categorical | 1 |
| Text | 3 |
| Numeric | 19 |
| Unsupported | 2 |
Durée moyenne du trajet is highly overall correlated with Retard moyen des trains en retard à l'arrivée and 1 other fields | High correlation |
Nombre de circulations prévues is highly overall correlated with Nombre de trains en retard au départ and 4 other fields | High correlation |
Nombre de trains en retard au départ is highly overall correlated with Nombre de circulations prévues and 4 other fields | High correlation |
Nombre de trains en retard à l'arrivée is highly overall correlated with Nombre de circulations prévues and 4 other fields | High correlation |
Nombre trains en retard > 15min is highly overall correlated with Nombre de circulations prévues and 6 other fields | High correlation |
Nombre trains en retard > 30min is highly overall correlated with Nombre de circulations prévues and 6 other fields | High correlation |
Nombre trains en retard > 60min is highly overall correlated with Nombre de circulations prévues and 6 other fields | High correlation |
Retard moyen de tous les trains au départ is highly overall correlated with Nombre de trains en retard au départ and 4 other fields | High correlation |
Retard moyen de tous les trains à l'arrivée is highly overall correlated with Nombre trains en retard > 15min and 4 other fields | High correlation |
Retard moyen des trains en retard à l'arrivée is highly overall correlated with Durée moyenne du trajet and 3 other fields | High correlation |
Retard moyen trains en retard > 15 (si liaison concurrencée par vol) is highly overall correlated with Retard moyen des trains en retard à l'arrivée | High correlation |
Service is highly overall correlated with Durée moyenne du trajet | High correlation |
Commentaire annulations has 10687 (100.0%) missing values | Missing |
Commentaire retards au départ has 10687 (100.0%) missing values | Missing |
Commentaire retards à l'arrivée has 9989 (93.5%) missing values | Missing |
Retard moyen de tous les trains à l'arrivée is highly skewed (γ1 = -32.31119815) | Skewed |
Commentaire annulations is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
Commentaire retards au départ is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
Nombre de trains annulés has 3591 (33.6%) zeros | Zeros |
Nombre de trains en retard au départ has 125 (1.2%) zeros | Zeros |
Retard moyen des trains en retard au départ has 123 (1.2%) zeros | Zeros |
Retard moyen de tous les trains au départ has 111 (1.0%) zeros | Zeros |
Nombre de trains en retard à l'arrivée has 188 (1.8%) zeros | Zeros |
Retard moyen des trains en retard à l'arrivée has 222 (2.1%) zeros | Zeros |
Retard moyen de tous les trains à l'arrivée has 121 (1.1%) zeros | Zeros |
Nombre trains en retard > 15min has 219 (2.0%) zeros | Zeros |
Retard moyen trains en retard > 15 (si liaison concurrencée par vol) has 203 (1.9%) zeros | Zeros |
Nombre trains en retard > 30min has 465 (4.4%) zeros | Zeros |
Nombre trains en retard > 60min has 1706 (16.0%) zeros | Zeros |
Prct retard pour causes externes has 1039 (9.7%) zeros | Zeros |
Prct retard pour cause infrastructure has 961 (9.0%) zeros | Zeros |
Prct retard pour cause gestion trafic has 1278 (12.0%) zeros | Zeros |
Prct retard pour cause matériel roulant has 1172 (11.0%) zeros | Zeros |
Prct retard pour cause gestion en gare et réutilisation de matériel has 3168 (29.6%) zeros | Zeros |
Prct retard pour cause prise en compte voyageurs (affluence, gestions PSH, correspondances) has 3614 (33.8%) zeros | Zeros |
Reproduction
| Analysis started | 2025-12-01 21:13:40.403586 |
|---|---|
| Analysis finished | 2025-12-01 21:13:50.685087 |
| Duration | 10.28 seconds |
| Software version | ydata-profiling vv4.18.0 |
| Download configuration | config.json |
Variables
Date
Date
| Distinct | 87 |
|---|---|
| Distinct (%) | 0.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 83.6 KiB |
| Minimum | 2018-01-01 00:00:00 |
|---|---|
| Maximum | 2025-03-01 00:00:00 |
| Invalid dates | 0 |
| Invalid dates (%) | 0.0% |
Histogram with fixed size bins (bins=50)
Service
Categorical
High correlation
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 83.6 KiB |
| National | |
|---|---|
| International |
Length
| Max length | 13 |
|---|---|
| Median length | 8 |
| Mean length | 8.6072799 |
| Min length | 8 |
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | National |
|---|---|
| 2nd row | International |
| 3rd row | National |
| 4th row | National |
| 5th row | National |
Common Values
| Value | Count | Frequency (%) |
| National | 9389 | |
| International | 1298 | 12.1% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| national | 9389 | |
| international | 1298 | 12.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 21374 | |
| n | 13283 | |
| t | 11985 | |
| i | 10687 | |
| o | 10687 | |
| l | 10687 | |
| N | 9389 | |
| I | 1298 | 1.4% |
| e | 1298 | 1.4% |
| r | 1298 | 1.4% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 91986 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| a | 21374 | |
| n | 13283 | |
| t | 11985 | |
| i | 10687 | |
| o | 10687 | |
| l | 10687 | |
| N | 9389 | |
| I | 1298 | 1.4% |
| e | 1298 | 1.4% |
| r | 1298 | 1.4% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 91986 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| a | 21374 | |
| n | 13283 | |
| t | 11985 | |
| i | 10687 | |
| o | 10687 | |
| l | 10687 | |
| N | 9389 | |
| I | 1298 | 1.4% |
| e | 1298 | 1.4% |
| r | 1298 | 1.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 91986 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| a | 21374 | |
| n | 13283 | |
| t | 11985 | |
| i | 10687 | |
| o | 10687 | |
| l | 10687 | |
| N | 9389 | |
| I | 1298 | 1.4% |
| e | 1298 | 1.4% |
| r | 1298 | 1.4% |
Gare de départ
Text
| Distinct | 59 |
|---|---|
| Distinct (%) | 0.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 83.6 KiB |
Length
| Max length | 30 |
|---|---|
| Median length | 25 |
| Mean length | 11.862169 |
| Min length | 4 |
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | GRENOBLE |
|---|---|
| 2nd row | PARIS LYON |
| 3rd row | MARSEILLE ST CHARLES |
| 4th row | PARIS NORD |
| 5th row | ANNECY |
| Value | Count | Frequency (%) |
| paris | 4468 | |
| lyon | 2692 | 13.0% |
| montparnasse | 1392 | 6.7% |
| st | 837 | 4.1% |
| part | 522 | 2.5% |
| dieu | 522 | 2.5% |
| est | 522 | 2.5% |
| marseille | 479 | 2.3% |
| charles | 479 | 2.3% |
| ville | 348 | 1.7% |
| Other values (77) | 8396 |
Most occurring characters
| Value | Count | Frequency (%) |
| A | 13923 | |
| S | 12116 | |
| R | 11230 | |
| E | 11059 | |
| N | 10765 | |
| 9970 | 7.9% | |
| L | 8649 | 6.8% |
| I | 8336 | 6.6% |
| O | 7335 | 5.8% |
| P | 7165 | 5.7% |
| Other values (18) | 26223 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 126771 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| A | 13923 | |
| S | 12116 | |
| R | 11230 | |
| E | 11059 | |
| N | 10765 | |
| 9970 | 7.9% | |
| L | 8649 | 6.8% |
| I | 8336 | 6.6% |
| O | 7335 | 5.8% |
| P | 7165 | 5.7% |
| Other values (18) | 26223 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 126771 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| A | 13923 | |
| S | 12116 | |
| R | 11230 | |
| E | 11059 | |
| N | 10765 | |
| 9970 | 7.9% | |
| L | 8649 | 6.8% |
| I | 8336 | 6.6% |
| O | 7335 | 5.8% |
| P | 7165 | 5.7% |
| Other values (18) | 26223 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 126771 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| A | 13923 | |
| S | 12116 | |
| R | 11230 | |
| E | 11059 | |
| N | 10765 | |
| 9970 | 7.9% | |
| L | 8649 | 6.8% |
| I | 8336 | 6.6% |
| O | 7335 | 5.8% |
| P | 7165 | 5.7% |
| Other values (18) | 26223 |
Gare d'arrivée
Text
| Distinct | 59 |
|---|---|
| Distinct (%) | 0.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 83.6 KiB |
Length
| Max length | 30 |
|---|---|
| Median length | 25 |
| Mean length | 11.787031 |
| Min length | 4 |
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | PARIS LYON |
|---|---|
| 2nd row | ITALIE |
| 3rd row | LYON PART DIEU |
| 4th row | DUNKERQUE |
| 5th row | PARIS LYON |
| Value | Count | Frequency (%) |
| paris | 4468 | |
| lyon | 2692 | 13.1% |
| montparnasse | 1392 | 6.8% |
| st | 764 | 3.7% |
| part | 522 | 2.5% |
| dieu | 522 | 2.5% |
| est | 522 | 2.5% |
| marseille | 406 | 2.0% |
| charles | 406 | 2.0% |
| tgv | 348 | 1.7% |
| Other values (77) | 8469 |
Most occurring characters
| Value | Count | Frequency (%) |
| A | 13777 | |
| S | 11897 | |
| R | 11157 | |
| E | 10840 | |
| N | 10838 | |
| 9824 | 7.8% | |
| L | 8430 | 6.7% |
| I | 8336 | 6.6% |
| O | 7481 | 5.9% |
| P | 7165 | 5.7% |
| Other values (18) | 26223 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 125968 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| A | 13777 | |
| S | 11897 | |
| R | 11157 | |
| E | 10840 | |
| N | 10838 | |
| 9824 | 7.8% | |
| L | 8430 | 6.7% |
| I | 8336 | 6.6% |
| O | 7481 | 5.9% |
| P | 7165 | 5.7% |
| Other values (18) | 26223 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 125968 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| A | 13777 | |
| S | 11897 | |
| R | 11157 | |
| E | 10840 | |
| N | 10838 | |
| 9824 | 7.8% | |
| L | 8430 | 6.7% |
| I | 8336 | 6.6% |
| O | 7481 | 5.9% |
| P | 7165 | 5.7% |
| Other values (18) | 26223 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 125968 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| A | 13777 | |
| S | 11897 | |
| R | 11157 | |
| E | 10840 | |
| N | 10838 | |
| 9824 | 7.8% | |
| L | 8430 | 6.7% |
| I | 8336 | 6.6% |
| O | 7481 | 5.9% |
| P | 7165 | 5.7% |
| Other values (18) | 26223 |
Durée moyenne du trajet
Real number (ℝ)
High correlation
| Distinct | 409 |
|---|---|
| Distinct (%) | 3.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 170.40152 |
| Minimum | 0 |
|---|---|
| Maximum | 786 |
| Zeros | 73 |
| Zeros (%) | 0.7% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 83.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 60 |
| Q1 | 100 |
| median | 163 |
| Q3 | 222 |
| 95-th percentile | 335 |
| Maximum | 786 |
| Range | 786 |
| Interquartile range (IQR) | 122 |
Descriptive statistics
| Standard deviation | 87.802397 |
|---|---|
| Coefficient of variation (CV) | 0.5152677 |
| Kurtosis | 1.1806578 |
| Mean | 170.40152 |
| Median Absolute Deviation (MAD) | 62 |
| Skewness | 0.96833922 |
| Sum | 1821081 |
| Variance | 7709.2609 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 96 | 166 | 1.6% |
| 46 | 135 | 1.3% |
| 97 | 129 | 1.2% |
| 95 | 125 | 1.2% |
| 98 | 122 | 1.1% |
| 131 | 121 | 1.1% |
| 132 | 115 | 1.1% |
| 99 | 107 | 1.0% |
| 130 | 94 | 0.9% |
| 133 | 91 | 0.9% |
| Other values (399) | 9482 |
| Value | Count | Frequency (%) |
| 0 | 73 | |
| 35 | 1 | < 0.1% |
| 45 | 25 | 0.2% |
| 46 | 135 | |
| 47 | 7 | 0.1% |
| 48 | 40 | 0.4% |
| 49 | 32 | 0.3% |
| 50 | 51 | 0.5% |
| 51 | 36 | 0.3% |
| 52 | 3 | < 0.1% |
| Value | Count | Frequency (%) |
| 786 | 1 | < 0.1% |
| 564 | 1 | < 0.1% |
| 558 | 1 | < 0.1% |
| 551 | 1 | < 0.1% |
| 544 | 5 | |
| 535 | 1 | < 0.1% |
| 532 | 1 | < 0.1% |
| 521 | 1 | < 0.1% |
| 507 | 3 | < 0.1% |
| 502 | 10 |
Nombre de circulations prévues
Real number (ℝ)
High correlation
| Distinct | 867 |
|---|---|
| Distinct (%) | 8.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 269.28829 |
| Minimum | 0 |
|---|---|
| Maximum | 1100 |
| Zeros | 73 |
| Zeros (%) | 0.7% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 83.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 31 |
| Q1 | 149 |
| median | 229 |
| Q3 | 357 |
| 95-th percentile | 609 |
| Maximum | 1100 |
| Range | 1100 |
| Interquartile range (IQR) | 208 |
Descriptive statistics
| Standard deviation | 181.47806 |
|---|---|
| Coefficient of variation (CV) | 0.67391738 |
| Kurtosis | 1.8309707 |
| Mean | 269.28829 |
| Median Absolute Deviation (MAD) | 91 |
| Skewness | 1.2099244 |
| Sum | 2877884 |
| Variance | 32934.287 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 31 | 119 | 1.1% |
| 30 | 99 | 0.9% |
| 0 | 73 | 0.7% |
| 196 | 52 | 0.5% |
| 229 | 50 | 0.5% |
| 28 | 50 | 0.5% |
| 62 | 49 | 0.5% |
| 186 | 49 | 0.5% |
| 228 | 49 | 0.5% |
| 191 | 48 | 0.4% |
| Other values (857) | 10049 |
| Value | Count | Frequency (%) |
| 0 | 73 | |
| 1 | 1 | < 0.1% |
| 2 | 3 | < 0.1% |
| 3 | 1 | < 0.1% |
| 4 | 2 | < 0.1% |
| 5 | 3 | < 0.1% |
| 6 | 5 | < 0.1% |
| 7 | 6 | 0.1% |
| 8 | 10 | 0.1% |
| 9 | 2 | < 0.1% |
| Value | Count | Frequency (%) |
| 1100 | 2 | |
| 1096 | 1 | |
| 1092 | 1 | |
| 1084 | 1 | |
| 1080 | 1 | |
| 1075 | 2 | |
| 1069 | 1 | |
| 1068 | 1 | |
| 1067 | 1 | |
| 1066 | 1 |
Nombre de trains annulés
Real number (ℝ)
Zeros
| Distinct | 192 |
|---|---|
| Distinct (%) | 1.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 9.2853935 |
| Minimum | 0 |
|---|---|
| Maximum | 297 |
| Zeros | 3591 |
| Zeros (%) | 33.6% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 83.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 2 |
| Q3 | 8 |
| 95-th percentile | 41 |
| Maximum | 297 |
| Range | 297 |
| Interquartile range (IQR) | 8 |
Descriptive statistics
| Standard deviation | 23.652677 |
|---|---|
| Coefficient of variation (CV) | 2.5472994 |
| Kurtosis | 38.24932 |
| Mean | 9.2853935 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 5.4649963 |
| Sum | 99233 |
| Variance | 559.44914 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 3591 | |
| 1 | 1461 | |
| 2 | 887 | 8.3% |
| 3 | 652 | 6.1% |
| 4 | 519 | 4.9% |
| 5 | 352 | 3.3% |
| 7 | 274 | 2.6% |
| 6 | 268 | 2.5% |
| 8 | 214 | 2.0% |
| 9 | 213 | 2.0% |
| Other values (182) | 2256 |
| Value | Count | Frequency (%) |
| 0 | 3591 | |
| 1 | 1461 | |
| 2 | 887 | 8.3% |
| 3 | 652 | 6.1% |
| 4 | 519 | 4.9% |
| 5 | 352 | 3.3% |
| 6 | 268 | 2.5% |
| 7 | 274 | 2.6% |
| 8 | 214 | 2.0% |
| 9 | 213 | 2.0% |
| Value | Count | Frequency (%) |
| 297 | 1 | |
| 288 | 1 | |
| 279 | 1 | |
| 277 | 1 | |
| 274 | 1 | |
| 268 | 1 | |
| 266 | 1 | |
| 258 | 1 | |
| 256 | 1 | |
| 252 | 1 |
Commentaire annulations
Unsupported
Missing Rejected Unsupported
| Missing | 10687 |
|---|---|
| Missing (%) | 100.0% |
| Memory size | 83.6 KiB |
Nombre de trains en retard au départ
Real number (ℝ)
High correlation Zeros
| Distinct | 452 |
|---|---|
| Distinct (%) | 4.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 86.747263 |
| Minimum | 0 |
|---|---|
| Maximum | 596 |
| Zeros | 125 |
| Zeros (%) | 1.2% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 83.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 5 |
| Q1 | 21 |
| median | 53 |
| Q3 | 127 |
| 95-th percentile | 274 |
| Maximum | 596 |
| Range | 596 |
| Interquartile range (IQR) | 106 |
Descriptive statistics
| Standard deviation | 89.030121 |
|---|---|
| Coefficient of variation (CV) | 1.0263162 |
| Kurtosis | 2.7803255 |
| Mean | 86.747263 |
| Median Absolute Deviation (MAD) | 39 |
| Skewness | 1.6246643 |
| Sum | 927068 |
| Variance | 7926.3624 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 9 | 148 | 1.4% |
| 13 | 146 | 1.4% |
| 8 | 140 | 1.3% |
| 20 | 140 | 1.3% |
| 14 | 135 | 1.3% |
| 16 | 134 | 1.3% |
| 10 | 133 | 1.2% |
| 17 | 130 | 1.2% |
| 15 | 129 | 1.2% |
| 6 | 127 | 1.2% |
| Other values (442) | 9325 |
| Value | Count | Frequency (%) |
| 0 | 125 | |
| 1 | 66 | |
| 2 | 82 | |
| 3 | 107 | |
| 4 | 97 | |
| 5 | 124 | |
| 6 | 127 | |
| 7 | 122 | |
| 8 | 140 | |
| 9 | 148 |
| Value | Count | Frequency (%) |
| 596 | 1 | |
| 591 | 2 | |
| 586 | 1 | |
| 566 | 1 | |
| 564 | 1 | |
| 562 | 2 | |
| 558 | 1 | |
| 549 | 1 | |
| 548 | 1 | |
| 532 | 1 |
Retard moyen des trains en retard au départ
Real number (ℝ)
Zeros
| Distinct | 10238 |
|---|---|
| Distinct (%) | 95.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 11.951464 |
| Minimum | 0 |
|---|---|
| Maximum | 316.1881 |
| Zeros | 123 |
| Zeros (%) | 1.2% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 83.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1.9941389 |
| Q1 | 5.9031458 |
| median | 10.009368 |
| Q3 | 15.235088 |
| 95-th percentile | 26.360452 |
| Maximum | 316.1881 |
| Range | 316.1881 |
| Interquartile range (IQR) | 9.3319419 |
Descriptive statistics
| Standard deviation | 11.726851 |
|---|---|
| Coefficient of variation (CV) | 0.98120624 |
| Kurtosis | 156.00142 |
| Mean | 11.951464 |
| Median Absolute Deviation (MAD) | 4.5627336 |
| Skewness | 9.0421413 |
| Sum | 127725.29 |
| Variance | 137.51903 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 123 | 1.2% |
| 2 | 12 | 0.1% |
| 1 | 8 | 0.1% |
| 3 | 7 | 0.1% |
| 5 | 7 | 0.1% |
| 9 | 6 | 0.1% |
| 11 | 6 | 0.1% |
| 6 | 6 | 0.1% |
| 10 | 5 | < 0.1% |
| 8.833333333 | 4 | < 0.1% |
| Other values (10228) | 10503 |
| Value | Count | Frequency (%) |
| 0 | 123 | |
| 0.1 | 1 | < 0.1% |
| 0.116666667 | 2 | < 0.1% |
| 0.146666667 | 1 | < 0.1% |
| 0.183333333 | 1 | < 0.1% |
| 0.216666667 | 1 | < 0.1% |
| 0.368055556 | 1 | < 0.1% |
| 0.395454545 | 1 | < 0.1% |
| 0.428333333 | 1 | < 0.1% |
| 0.432633053 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 316.1880952 | 1 | |
| 270.4380952 | 1 | |
| 246.3833333 | 1 | |
| 245.0813131 | 1 | |
| 239.6783951 | 1 | |
| 229.7261111 | 1 | |
| 211.662963 | 1 | |
| 196.2105556 | 1 | |
| 173.7226027 | 1 | |
| 166.1685185 | 1 |
Retard moyen de tous les trains au départ
Real number (ℝ)
High correlation Zeros
| Distinct | 10503 |
|---|---|
| Distinct (%) | 98.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.0466455 |
| Minimum | -229.26944 |
|---|---|
| Maximum | 84.516667 |
| Zeros | 111 |
| Zeros (%) | 1.0% |
| Negative | 162 |
| Negative (%) | 1.5% |
| Memory size | 83.6 KiB |
Quantile statistics
| Minimum | -229.26944 |
|---|---|
| 5-th percentile | 0.22121117 |
| Q1 | 1.1727922 |
| median | 2.2662857 |
| Q3 | 3.8761042 |
| 95-th percentile | 7.9509371 |
| Maximum | 84.516667 |
| Range | 313.78611 |
| Interquartile range (IQR) | 2.703312 |
Descriptive statistics
| Standard deviation | 4.9040853 |
|---|---|
| Coefficient of variation (CV) | 1.6096672 |
| Kurtosis | 566.52451 |
| Mean | 3.0466455 |
| Median Absolute Deviation (MAD) | 1.257102 |
| Skewness | -8.1942807 |
| Sum | 32559.501 |
| Variance | 24.050053 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 111 | 1.0% |
| 0.285714286 | 4 | < 0.1% |
| 0.45 | 4 | < 0.1% |
| 1.333333333 | 4 | < 0.1% |
| 1.366666667 | 3 | < 0.1% |
| -0.178947368 | 3 | < 0.1% |
| 1.663888889 | 3 | < 0.1% |
| 1.288573508 | 2 | < 0.1% |
| 2.995057471 | 2 | < 0.1% |
| 0.933333333 | 2 | < 0.1% |
| Other values (10493) | 10549 |
| Value | Count | Frequency (%) |
| -229.2694444 | 1 | |
| -112.2620155 | 1 | |
| -92.76830709 | 1 | |
| -69.83828829 | 1 | |
| -67.95374016 | 1 | |
| -12.98227848 | 1 | |
| -7.686979167 | 1 | |
| -5.712820513 | 1 | |
| -4.618666667 | 1 | |
| -3.490888889 | 1 |
| Value | Count | Frequency (%) |
| 84.51666667 | 1 | |
| 83.52361111 | 1 | |
| 70.34365079 | 1 | |
| 70.2004902 | 1 | |
| 69.58878788 | 1 | |
| 66.49132791 | 1 | |
| 65.12677596 | 1 | |
| 64.11422559 | 1 | |
| 57.35945626 | 1 | |
| 55.54702128 | 1 |
Commentaire retards au départ
Unsupported
Missing Rejected Unsupported
| Missing | 10687 |
|---|---|
| Missing (%) | 100.0% |
| Memory size | 83.6 KiB |
Nombre de trains en retard à l'arrivée
Real number (ℝ)
High correlation Zeros
| Distinct | 196 |
|---|---|
| Distinct (%) | 1.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 36.628988 |
| Minimum | 0 |
|---|---|
| Maximum | 376 |
| Zeros | 188 |
| Zeros (%) | 1.8% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 83.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 3 |
| Q1 | 15 |
| median | 29 |
| Q3 | 50 |
| 95-th percentile | 97.7 |
| Maximum | 376 |
| Range | 376 |
| Interquartile range (IQR) | 35 |
Descriptive statistics
| Standard deviation | 30.678908 |
|---|---|
| Coefficient of variation (CV) | 0.83755815 |
| Kurtosis | 5.2949216 |
| Mean | 36.628988 |
| Median Absolute Deviation (MAD) | 16 |
| Skewness | 1.7444128 |
| Sum | 391454 |
| Variance | 941.19539 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 17 | 212 | 2.0% |
| 21 | 212 | 2.0% |
| 14 | 207 | 1.9% |
| 15 | 206 | 1.9% |
| 11 | 204 | 1.9% |
| 13 | 202 | 1.9% |
| 19 | 202 | 1.9% |
| 16 | 200 | 1.9% |
| 6 | 195 | 1.8% |
| 26 | 195 | 1.8% |
| Other values (186) | 8652 |
| Value | Count | Frequency (%) |
| 0 | 188 | |
| 1 | 110 | |
| 2 | 140 | |
| 3 | 159 | |
| 4 | 143 | |
| 5 | 186 | |
| 6 | 195 | |
| 7 | 171 | |
| 8 | 170 | |
| 9 | 185 |
| Value | Count | Frequency (%) |
| 376 | 1 | |
| 255 | 1 | |
| 254 | 1 | |
| 239 | 1 | |
| 235 | 2 | |
| 229 | 1 | |
| 220 | 1 | |
| 217 | 2 | |
| 210 | 2 | |
| 206 | 1 |
Retard moyen des trains en retard à l'arrivée
Real number (ℝ)
High correlation Zeros
| Distinct | 10226 |
|---|---|
| Distinct (%) | 95.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 34.665571 |
| Minimum | -40.109259 |
|---|---|
| Maximum | 299.6 |
| Zeros | 222 |
| Zeros (%) | 2.1% |
| Negative | 2 |
| Negative (%) | < 0.1% |
| Memory size | 83.6 KiB |
Quantile statistics
| Minimum | -40.109259 |
|---|---|
| 5-th percentile | 14.876222 |
| Q1 | 25.328252 |
| median | 32.987198 |
| Q3 | 41.91072 |
| 95-th percentile | 60.931974 |
| Maximum | 299.6 |
| Range | 339.70926 |
| Interquartile range (IQR) | 16.582468 |
Descriptive statistics
| Standard deviation | 15.642794 |
|---|---|
| Coefficient of variation (CV) | 0.45124869 |
| Kurtosis | 18.421778 |
| Mean | 34.665571 |
| Median Absolute Deviation (MAD) | 8.233652 |
| Skewness | 2.0205571 |
| Sum | 370470.96 |
| Variance | 244.69699 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 222 | 2.1% |
| 25 | 6 | 0.1% |
| 40.5 | 5 | < 0.1% |
| 40 | 4 | < 0.1% |
| 42 | 4 | < 0.1% |
| 44 | 4 | < 0.1% |
| 32 | 4 | < 0.1% |
| 34 | 4 | < 0.1% |
| 41.3 | 4 | < 0.1% |
| 22.5 | 4 | < 0.1% |
| Other values (10216) | 10426 |
| Value | Count | Frequency (%) |
| -40.10925926 | 1 | < 0.1% |
| -30.5125 | 1 | < 0.1% |
| 0 | 222 | |
| 5.266666667 | 1 | < 0.1% |
| 5.672222222 | 1 | < 0.1% |
| 6.766666667 | 1 | < 0.1% |
| 7.016666667 | 1 | < 0.1% |
| 7.333333333 | 1 | < 0.1% |
| 7.851666667 | 1 | < 0.1% |
| 7.99047619 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 299.6 | 1 | |
| 255.8666667 | 1 | |
| 218.6916667 | 1 | |
| 190 | 1 | |
| 187.01 | 1 | |
| 164.3916667 | 1 | |
| 160 | 1 | |
| 157.1333333 | 1 | |
| 147.7166667 | 1 | |
| 141.2833333 | 1 |
Retard moyen de tous les trains à l'arrivée
Real number (ℝ)
High correlation Skewed Zeros
| Distinct | 10494 |
|---|---|
| Distinct (%) | 98.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 5.8535103 |
| Minimum | -472.63889 |
|---|---|
| Maximum | 92 |
| Zeros | 121 |
| Zeros (%) | 1.1% |
| Negative | 116 |
| Negative (%) | 1.1% |
| Memory size | 83.6 KiB |
Quantile statistics
| Minimum | -472.63889 |
|---|---|
| 5-th percentile | 1.1680003 |
| Q1 | 3.3057146 |
| median | 5.1926606 |
| Q3 | 7.8595631 |
| 95-th percentile | 13.170421 |
| Maximum | 92 |
| Range | 564.63889 |
| Interquartile range (IQR) | 4.5538485 |
Descriptive statistics
| Standard deviation | 7.1825141 |
|---|---|
| Coefficient of variation (CV) | 1.2270439 |
| Kurtosis | 1960.1481 |
| Mean | 5.8535103 |
| Median Absolute Deviation (MAD) | 2.1697181 |
| Skewness | -32.311198 |
| Sum | 62556.465 |
| Variance | 51.588509 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 121 | 1.1% |
| 8.2 | 3 | < 0.1% |
| 7.116458333 | 3 | < 0.1% |
| 2.908333333 | 3 | < 0.1% |
| 7.039506173 | 2 | < 0.1% |
| 4.135416667 | 2 | < 0.1% |
| 12.72961487 | 2 | < 0.1% |
| 5.49948605 | 2 | < 0.1% |
| 9.979454927 | 2 | < 0.1% |
| 2.226666667 | 2 | < 0.1% |
| Other values (10484) | 10545 |
| Value | Count | Frequency (%) |
| -472.6388889 | 1 | |
| -173.0769697 | 1 | |
| -163.0419831 | 1 | |
| -151.2910078 | 1 | |
| -150.5621142 | 1 | |
| -90.6308399 | 1 | |
| -80.85511288 | 1 | |
| -71.52882883 | 1 | |
| -68.92808399 | 1 | |
| -15.19254743 | 1 |
| Value | Count | Frequency (%) |
| 92 | 1 | |
| 83.38888889 | 1 | |
| 61.81666667 | 1 | |
| 37.83823529 | 1 | |
| 36.81686992 | 1 | |
| 33.9797619 | 1 | |
| 32.97857143 | 1 | |
| 32.40909091 | 1 | |
| 31.21428571 | 1 | |
| 30.81025641 | 1 |
Commentaire retards à l'arrivée
Text
Missing
| Distinct | 302 |
|---|---|
| Distinct (%) | 43.3% |
| Missing | 9989 |
| Missing (%) | 93.5% |
| Memory size | 83.6 KiB |
Length
| Max length | 2678 |
|---|---|
| Median length | 1293.5 |
| Mean length | 547.84527 |
| Min length | 6 |
Unique
| Unique | 188 ? |
|---|---|
| Unique (%) | 26.9% |
Sample
| 1st row | Le 9760 heurte un chevreuil vers Le-Creusot-Montchanin-TGV |
|---|---|
| 2nd row | Ce mois-ci, l'OD a été touchée par les incidents suivants : Le 1er : Tempête Carmen sur la façade Atlantique (52 TGV ; 1079mn) Le 3 : Tempête Eleonor sur l’ouest de la France (35 TGV ; 407mn) Le 5 : Dérangement d’une aiguille en gare de Massy TGV (57 TGV ; 1254mn) Le 7 : Dérangement du poste d’aiguillage de Paris Montparnasse (70 TGV ; 1490mn) Le 12 : Colis suspect en gare de Paris Montparnasse (32 TGV ; 499mn) Le 17 : Dérangement du poste d’aiguillage de Paris Montparnasse (26 TGV ; 386mn) |
| 3rd row | Heurt d’un chevreuil par OUIGO 7801 vers Valence-TGV |
| 4th row | Dérangement de commutateur sur LN1 vers Tonnerre |
| 5th row | Ce mois-ci, l'OD a été touchée par les incidents suivants : Le 1er : Tempête Carmen sur la façade Atlantique (52 TGV ; 1079mn) Le 3 : Tempête Eleonor sur l’ouest de la France (35 TGV ; 407mn) Le 5 : Dérangement d’une aiguille en gare de Massy TGV (57 TGV ; 1254mn) Le 7 : Dérangement du poste d’aiguillage de Paris Montparnasse (70 TGV ; 1490mn) Le 12 : Colis suspect en gare de Paris Montparnasse (32 TGV ; 499mn) Le 12 : Incident caténaire en gare de Rennes (26 TGV ; 2188mn) Le 17 : Dérangement du poste d’aiguillage de Paris Montparnasse (26 TGV ; 386mn) Le 17 : Présence d’une personne dans les voies à Ste Luce (11 TGV ; 212mn) Le 26 : Heurt d’une personne au niveau de Tiercé (44 TGV ; 1578mn) |
| Value | Count | Frequency (%) |
| 5131 | 7.6% | |
| tgv | 2533 | 3.8% |
| le | 2500 | 3.7% |
| de | 2488 | 3.7% |
| à | 2028 | 3.0% |
| pour | 1836 | 2.7% |
| la | 1617 | 2.4% |
| minutes | 1368 | 2.0% |
| perdues | 1331 | 2.0% |
| sur | 1263 | 1.9% |
| Other values (2892) | 45052 |
Most occurring characters
| Value | Count | Frequency (%) |
| 65182 | ||
| e | 37383 | 9.8% |
| n | 21651 | 5.7% |
| s | 21067 | 5.5% |
| r | 19105 | 5.0% |
| t | 18819 | 4.9% |
| a | 18661 | 4.9% |
| i | 17527 | 4.6% |
| u | 15670 | 4.1% |
| l | 11187 | 2.9% |
| Other values (92) | 136144 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 382396 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 65182 | ||
| e | 37383 | 9.8% |
| n | 21651 | 5.7% |
| s | 21067 | 5.5% |
| r | 19105 | 5.0% |
| t | 18819 | 4.9% |
| a | 18661 | 4.9% |
| i | 17527 | 4.6% |
| u | 15670 | 4.1% |
| l | 11187 | 2.9% |
| Other values (92) | 136144 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 382396 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 65182 | ||
| e | 37383 | 9.8% |
| n | 21651 | 5.7% |
| s | 21067 | 5.5% |
| r | 19105 | 5.0% |
| t | 18819 | 4.9% |
| a | 18661 | 4.9% |
| i | 17527 | 4.6% |
| u | 15670 | 4.1% |
| l | 11187 | 2.9% |
| Other values (92) | 136144 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 382396 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 65182 | ||
| e | 37383 | 9.8% |
| n | 21651 | 5.7% |
| s | 21067 | 5.5% |
| r | 19105 | 5.0% |
| t | 18819 | 4.9% |
| a | 18661 | 4.9% |
| i | 17527 | 4.6% |
| u | 15670 | 4.1% |
| l | 11187 | 2.9% |
| Other values (92) | 136144 |
Nombre trains en retard > 15min
Real number (ℝ)
High correlation Zeros
| Distinct | 155 |
|---|---|
| Distinct (%) | 1.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 26.074202 |
| Minimum | 0 |
|---|---|
| Maximum | 312 |
| Zeros | 219 |
| Zeros (%) | 2.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 83.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 2 |
| Q1 | 10 |
| median | 21 |
| Q3 | 36 |
| 95-th percentile | 68 |
| Maximum | 312 |
| Range | 312 |
| Interquartile range (IQR) | 26 |
Descriptive statistics
| Standard deviation | 22.027028 |
|---|---|
| Coefficient of variation (CV) | 0.84478245 |
| Kurtosis | 7.752928 |
| Mean | 26.074202 |
| Median Absolute Deviation (MAD) | 12 |
| Skewness | 1.9662673 |
| Sum | 278655 |
| Variance | 485.18998 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 6 | 311 | 2.9% |
| 10 | 303 | 2.8% |
| 9 | 296 | 2.8% |
| 5 | 293 | 2.7% |
| 8 | 290 | 2.7% |
| 11 | 282 | 2.6% |
| 7 | 282 | 2.6% |
| 13 | 262 | 2.5% |
| 17 | 261 | 2.4% |
| 14 | 261 | 2.4% |
| Other values (145) | 7846 |
| Value | Count | Frequency (%) |
| 0 | 219 | |
| 1 | 139 | |
| 2 | 184 | |
| 3 | 225 | |
| 4 | 219 | |
| 5 | 293 | |
| 6 | 311 | |
| 7 | 282 | |
| 8 | 290 | |
| 9 | 296 |
| Value | Count | Frequency (%) |
| 312 | 1 | |
| 209 | 1 | |
| 199 | 1 | |
| 192 | 1 | |
| 179 | 1 | |
| 172 | 1 | |
| 165 | 1 | |
| 162 | 1 | |
| 157 | 1 | |
| 156 | 2 |
Retard moyen trains en retard > 15 (si liaison concurrencée par vol)
Real number (ℝ)
High correlation Zeros
| Distinct | 10129 |
|---|---|
| Distinct (%) | 94.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 35.010654 |
| Minimum | -4 |
|---|---|
| Maximum | 299.6 |
| Zeros | 203 |
| Zeros (%) | 1.9% |
| Negative | 8 |
| Negative (%) | 0.1% |
| Memory size | 83.6 KiB |
Quantile statistics
| Minimum | -4 |
|---|---|
| 5-th percentile | 3.163638 |
| Q1 | 25.977778 |
| median | 36.6875 |
| Q3 | 45.97376 |
| 95-th percentile | 64.623139 |
| Maximum | 299.6 |
| Range | 303.6 |
| Interquartile range (IQR) | 19.995982 |
Descriptive statistics
| Standard deviation | 19.709259 |
|---|---|
| Coefficient of variation (CV) | 0.56295031 |
| Kurtosis | 6.4685668 |
| Mean | 35.010654 |
| Median Absolute Deviation (MAD) | 9.725 |
| Skewness | 0.69704133 |
| Sum | 374158.86 |
| Variance | 388.45487 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 203 | 1.9% |
| 27 | 5 | < 0.1% |
| 34 | 5 | < 0.1% |
| 45 | 5 | < 0.1% |
| 41.5 | 5 | < 0.1% |
| 38 | 4 | < 0.1% |
| 22.5 | 4 | < 0.1% |
| 34.83333333 | 4 | < 0.1% |
| 59.5 | 4 | < 0.1% |
| 51.5 | 4 | < 0.1% |
| Other values (10119) | 10444 |
| Value | Count | Frequency (%) |
| -4 | 1 | < 0.1% |
| -2.714285714 | 1 | < 0.1% |
| -2.404295533 | 1 | < 0.1% |
| -1.571428571 | 1 | < 0.1% |
| -0.601023392 | 1 | < 0.1% |
| -0.351875902 | 1 | < 0.1% |
| -0.32654321 | 1 | < 0.1% |
| -0.160714286 | 1 | < 0.1% |
| 0 | 203 | |
| 0.051345291 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 299.6 | 1 | |
| 255.8666667 | 1 | |
| 218.6916667 | 1 | |
| 187.01 | 1 | |
| 169.6166667 | 1 | |
| 164.3916667 | 1 | |
| 160 | 1 | |
| 157.1333333 | 1 | |
| 147.7166667 | 1 | |
| 141.2833333 | 1 |
Nombre trains en retard > 30min
Real number (ℝ)
High correlation Zeros
| Distinct | 89 |
|---|---|
| Distinct (%) | 0.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 12.485075 |
| Minimum | 0 |
|---|---|
| Maximum | 202 |
| Zeros | 465 |
| Zeros (%) | 4.4% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 83.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 4 |
| median | 9 |
| Q3 | 17 |
| 95-th percentile | 35 |
| Maximum | 202 |
| Range | 202 |
| Interquartile range (IQR) | 13 |
Descriptive statistics
| Standard deviation | 11.589545 |
|---|---|
| Coefficient of variation (CV) | 0.92827193 |
| Kurtosis | 12.36723 |
| Mean | 12.485075 |
| Median Absolute Deviation (MAD) | 6 |
| Skewness | 2.3075154 |
| Sum | 133428 |
| Variance | 134.31755 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 5 | 615 | 5.8% |
| 3 | 609 | 5.7% |
| 4 | 600 | 5.6% |
| 2 | 592 | 5.5% |
| 7 | 560 | 5.2% |
| 6 | 533 | 5.0% |
| 8 | 521 | 4.9% |
| 0 | 465 | 4.4% |
| 9 | 450 | 4.2% |
| 1 | 443 | 4.1% |
| Other values (79) | 5299 |
| Value | Count | Frequency (%) |
| 0 | 465 | |
| 1 | 443 | |
| 2 | 592 | |
| 3 | 609 | |
| 4 | 600 | |
| 5 | 615 | |
| 6 | 533 | |
| 7 | 560 | |
| 8 | 521 | |
| 9 | 450 |
| Value | Count | Frequency (%) |
| 202 | 1 | < 0.1% |
| 109 | 1 | < 0.1% |
| 106 | 1 | < 0.1% |
| 94 | 1 | < 0.1% |
| 93 | 1 | < 0.1% |
| 91 | 1 | < 0.1% |
| 89 | 1 | < 0.1% |
| 86 | 1 | < 0.1% |
| 82 | 3 | |
| 81 | 2 |
Nombre trains en retard > 60min
Real number (ℝ)
High correlation Zeros
| Distinct | 47 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.6659493 |
| Minimum | 0 |
|---|---|
| Maximum | 71 |
| Zeros | 1706 |
| Zeros (%) | 16.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 83.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 1 |
| median | 3 |
| Q3 | 6 |
| 95-th percentile | 15 |
| Maximum | 71 |
| Range | 71 |
| Interquartile range (IQR) | 5 |
Descriptive statistics
| Standard deviation | 5.3226202 |
|---|---|
| Coefficient of variation (CV) | 1.1407368 |
| Kurtosis | 10.637669 |
| Mean | 4.6659493 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 2.5017704 |
| Sum | 49865 |
| Variance | 28.330286 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=47)
| Value | Count | Frequency (%) |
| 0 | 1706 | |
| 1 | 1604 | |
| 2 | 1401 | |
| 3 | 1112 | |
| 4 | 933 | |
| 5 | 752 | |
| 6 | 552 | 5.2% |
| 7 | 479 | 4.5% |
| 8 | 410 | 3.8% |
| 9 | 275 | 2.6% |
| Other values (37) | 1463 |
| Value | Count | Frequency (%) |
| 0 | 1706 | |
| 1 | 1604 | |
| 2 | 1401 | |
| 3 | 1112 | |
| 4 | 933 | |
| 5 | 752 | |
| 6 | 552 | 5.2% |
| 7 | 479 | 4.5% |
| 8 | 410 | 3.8% |
| 9 | 275 | 2.6% |
| Value | Count | Frequency (%) |
| 71 | 1 | < 0.1% |
| 59 | 1 | < 0.1% |
| 51 | 1 | < 0.1% |
| 49 | 1 | < 0.1% |
| 46 | 1 | < 0.1% |
| 44 | 1 | < 0.1% |
| 40 | 1 | < 0.1% |
| 39 | 1 | < 0.1% |
| 38 | 2 | |
| 37 | 3 |
Prct retard pour causes externes
Real number (ℝ)
Zeros
| Distinct | 1804 |
|---|---|
| Distinct (%) | 16.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 21.724222 |
| Minimum | 0 |
|---|---|
| Maximum | 100 |
| Zeros | 1039 |
| Zeros (%) | 9.7% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 83.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 10.526316 |
| median | 19.354839 |
| Q3 | 30.128734 |
| 95-th percentile | 50 |
| Maximum | 100 |
| Range | 100 |
| Interquartile range (IQR) | 19.602418 |
Descriptive statistics
| Standard deviation | 16.115659 |
|---|---|
| Coefficient of variation (CV) | 0.74182904 |
| Kurtosis | 2.7279209 |
| Mean | 21.724222 |
| Median Absolute Deviation (MAD) | 9.6774194 |
| Skewness | 1.2160994 |
| Sum | 232166.76 |
| Variance | 259.71447 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 1039 | 9.7% |
| 25 | 277 | 2.6% |
| 20 | 265 | 2.5% |
| 33.33333333 | 248 | 2.3% |
| 50 | 193 | 1.8% |
| 14.28571429 | 184 | 1.7% |
| 16.66666667 | 141 | 1.3% |
| 40 | 135 | 1.3% |
| 12.5 | 133 | 1.2% |
| 28.57142857 | 132 | 1.2% |
| Other values (1794) | 7940 |
| Value | Count | Frequency (%) |
| 0 | 1039 | |
| 0.95238095 | 1 | < 0.1% |
| 1.04166667 | 1 | < 0.1% |
| 1.333333333 | 1 | < 0.1% |
| 1.36986301 | 1 | < 0.1% |
| 1.42857143 | 2 | < 0.1% |
| 1.5625 | 1 | < 0.1% |
| 1.58730159 | 1 | < 0.1% |
| 1.61290323 | 1 | < 0.1% |
| 1.72413793 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 100 | 54 | |
| 93.33333333 | 1 | < 0.1% |
| 90.90909091 | 1 | < 0.1% |
| 90.75630252 | 1 | < 0.1% |
| 88.88888889 | 2 | < 0.1% |
| 88.88888889 | 1 | < 0.1% |
| 85 | 1 | < 0.1% |
| 84.61538462 | 1 | < 0.1% |
| 84.44444444 | 1 | < 0.1% |
| 83.33333333 | 3 | < 0.1% |
Prct retard pour cause infrastructure
Real number (ℝ)
Zeros
| Distinct | 1699 |
|---|---|
| Distinct (%) | 15.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 21.951504 |
| Minimum | 0 |
|---|---|
| Maximum | 100 |
| Zeros | 961 |
| Zeros (%) | 9.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 83.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 12 |
| median | 20 |
| Q3 | 29.708615 |
| 95-th percentile | 48.873385 |
| Maximum | 100 |
| Range | 100 |
| Interquartile range (IQR) | 17.708615 |
Descriptive statistics
| Standard deviation | 15.110935 |
|---|---|
| Coefficient of variation (CV) | 0.68837811 |
| Kurtosis | 3.714082 |
| Mean | 21.951504 |
| Median Absolute Deviation (MAD) | 8.7356322 |
| Skewness | 1.268007 |
| Sum | 234595.72 |
| Variance | 228.34035 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 961 | 9.0% |
| 25 | 351 | 3.3% |
| 20 | 280 | 2.6% |
| 33.33333333 | 262 | 2.5% |
| 16.66666667 | 203 | 1.9% |
| 14.28571429 | 183 | 1.7% |
| 50 | 166 | 1.6% |
| 12.5 | 144 | 1.3% |
| 28.57142857 | 144 | 1.3% |
| 40 | 128 | 1.2% |
| Other values (1689) | 7865 |
| Value | Count | Frequency (%) |
| 0 | 961 | |
| 0.7518797 | 1 | < 0.1% |
| 1.351351351 | 1 | < 0.1% |
| 1.369863014 | 1 | < 0.1% |
| 1.449275362 | 1 | < 0.1% |
| 1.538461538 | 1 | < 0.1% |
| 1.612903226 | 1 | < 0.1% |
| 1.666666667 | 2 | < 0.1% |
| 1.69491525 | 1 | < 0.1% |
| 1.724137929 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 100 | 51 | |
| 97.2972973 | 1 | < 0.1% |
| 94.44444444 | 1 | < 0.1% |
| 93.75 | 1 | < 0.1% |
| 93.33333333 | 1 | < 0.1% |
| 92.85714286 | 3 | < 0.1% |
| 92.30769231 | 1 | < 0.1% |
| 90.90909091 | 1 | < 0.1% |
| 88.88888889 | 1 | < 0.1% |
| 87.5 | 1 | < 0.1% |
Prct retard pour cause gestion trafic
Real number (ℝ)
Zeros
| Distinct | 1759 |
|---|---|
| Distinct (%) | 16.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 20.004786 |
| Minimum | 0 |
|---|---|
| Maximum | 100 |
| Zeros | 1278 |
| Zeros (%) | 12.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 83.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 10 |
| median | 18.181818 |
| Q3 | 28.070175 |
| 95-th percentile | 45.833333 |
| Maximum | 100 |
| Range | 100 |
| Interquartile range (IQR) | 18.070175 |
Descriptive statistics
| Standard deviation | 14.734253 |
|---|---|
| Coefficient of variation (CV) | 0.73653641 |
| Kurtosis | 3.1960236 |
| Mean | 20.004786 |
| Median Absolute Deviation (MAD) | 8.951049 |
| Skewness | 1.1914193 |
| Sum | 213791.15 |
| Variance | 217.09822 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 1278 | 12.0% |
| 25 | 294 | 2.8% |
| 20 | 267 | 2.5% |
| 14.28571429 | 207 | 1.9% |
| 33.33333333 | 193 | 1.8% |
| 16.66666667 | 183 | 1.7% |
| 12.5 | 176 | 1.6% |
| 28.57142857 | 145 | 1.4% |
| 11.11111111 | 141 | 1.3% |
| 10 | 134 | 1.3% |
| Other values (1749) | 7669 |
| Value | Count | Frequency (%) |
| 0 | 1278 | |
| 1.694915254 | 1 | < 0.1% |
| 1.754385965 | 1 | < 0.1% |
| 1.851851852 | 1 | < 0.1% |
| 1.886792453 | 1 | < 0.1% |
| 2 | 1 | < 0.1% |
| 2.083333333 | 2 | < 0.1% |
| 2.127659574 | 1 | < 0.1% |
| 2.222222222 | 2 | < 0.1% |
| 2.272727273 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 100 | 36 | |
| 97.36842105 | 1 | < 0.1% |
| 93.87755102 | 1 | < 0.1% |
| 92.68292683 | 1 | < 0.1% |
| 88.88888889 | 1 | < 0.1% |
| 86.36363636 | 1 | < 0.1% |
| 86.20689655 | 1 | < 0.1% |
| 85.71428571 | 1 | < 0.1% |
| 84.61538462 | 1 | < 0.1% |
| 84.21052632 | 1 | < 0.1% |
Prct retard pour cause matériel roulant
Real number (ℝ)
Zeros
| Distinct | 1625 |
|---|---|
| Distinct (%) | 15.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 18.960105 |
| Minimum | 0 |
|---|---|
| Maximum | 100 |
| Zeros | 1172 |
| Zeros (%) | 11.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 83.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 10 |
| median | 17.197452 |
| Q3 | 25.714286 |
| 95-th percentile | 43.478261 |
| Maximum | 100 |
| Range | 100 |
| Interquartile range (IQR) | 15.714286 |
Descriptive statistics
| Standard deviation | 13.635002 |
|---|---|
| Coefficient of variation (CV) | 0.71914167 |
| Kurtosis | 4.014192 |
| Mean | 18.960105 |
| Median Absolute Deviation (MAD) | 7.8025478 |
| Skewness | 1.289064 |
| Sum | 202626.65 |
| Variance | 185.91328 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 1172 | 11.0% |
| 20 | 298 | 2.8% |
| 25 | 275 | 2.6% |
| 33.33333333 | 239 | 2.2% |
| 14.28571429 | 235 | 2.2% |
| 12.5 | 191 | 1.8% |
| 16.66666667 | 182 | 1.7% |
| 50 | 129 | 1.2% |
| 18.18181818 | 125 | 1.2% |
| 28.57142857 | 123 | 1.2% |
| Other values (1615) | 7718 |
| Value | Count | Frequency (%) |
| 0 | 1172 | |
| 0.840336134 | 1 | < 0.1% |
| 1.123595506 | 1 | < 0.1% |
| 1.136363636 | 1 | < 0.1% |
| 1.515151515 | 1 | < 0.1% |
| 1.587301587 | 2 | < 0.1% |
| 1.639344262 | 1 | < 0.1% |
| 1.754385965 | 2 | < 0.1% |
| 1.851851852 | 1 | < 0.1% |
| 1.960784314 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 100 | 34 | |
| 81.81818182 | 1 | < 0.1% |
| 81.48148148 | 1 | < 0.1% |
| 80 | 1 | < 0.1% |
| 75.75757576 | 1 | < 0.1% |
| 75 | 5 | < 0.1% |
| 72.72727273 | 1 | < 0.1% |
| 71.42857143 | 1 | < 0.1% |
| 70 | 3 | < 0.1% |
| 68 | 1 | < 0.1% |
Prct retard pour cause gestion en gare et réutilisation de matériel
Real number (ℝ)
Zeros
| Distinct | 1358 |
|---|---|
| Distinct (%) | 12.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 7.2507691 |
| Minimum | 0 |
|---|---|
| Maximum | 100 |
| Zeros | 3168 |
| Zeros (%) | 29.6% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 83.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 5.6603774 |
| Q3 | 10.861139 |
| 95-th percentile | 21.428571 |
| Maximum | 100 |
| Range | 100 |
| Interquartile range (IQR) | 10.861139 |
Descriptive statistics
| Standard deviation | 8.1022277 |
|---|---|
| Coefficient of variation (CV) | 1.1174301 |
| Kurtosis | 18.711389 |
| Mean | 7.2507691 |
| Median Absolute Deviation (MAD) | 5.6603774 |
| Skewness | 2.7542846 |
| Sum | 77488.97 |
| Variance | 65.646093 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 3168 | |
| 10 | 145 | 1.4% |
| 12.5 | 145 | 1.4% |
| 11.11111111 | 139 | 1.3% |
| 14.28571429 | 133 | 1.2% |
| 9.090909091 | 118 | 1.1% |
| 6.25 | 118 | 1.1% |
| 7.692307692 | 112 | 1.0% |
| 5.882352941 | 109 | 1.0% |
| 20 | 105 | 1.0% |
| Other values (1348) | 6395 |
| Value | Count | Frequency (%) |
| 0 | 3168 | |
| 0.694444444 | 1 | < 0.1% |
| 0.84745763 | 1 | < 0.1% |
| 0.917431193 | 1 | < 0.1% |
| 0.934579439 | 1 | < 0.1% |
| 0.943396226 | 1 | < 0.1% |
| 0.961538462 | 1 | < 0.1% |
| 0.980392157 | 1 | < 0.1% |
| 1 | 1 | < 0.1% |
| 1.01010101 | 2 | < 0.1% |
| Value | Count | Frequency (%) |
| 100 | 9 | 0.1% |
| 80 | 1 | < 0.1% |
| 75 | 1 | < 0.1% |
| 66.66666667 | 4 | < 0.1% |
| 60 | 1 | < 0.1% |
| 50 | 27 | |
| 46.15384615 | 1 | < 0.1% |
| 44.82758621 | 1 | < 0.1% |
| 44.44444444 | 1 | < 0.1% |
| 43.75 | 2 | < 0.1% |
Prct retard pour cause prise en compte voyageurs (affluence, gestions PSH, correspondances)
Real number (ℝ)
Zeros
| Distinct | 1425 |
|---|---|
| Distinct (%) | 13.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 7.628965 |
| Minimum | 0 |
|---|---|
| Maximum | 100 |
| Zeros | 3614 |
| Zeros (%) | 33.8% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 83.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 4.9180328 |
| Q3 | 11.111111 |
| 95-th percentile | 25 |
| Maximum | 100 |
| Range | 100 |
| Interquartile range (IQR) | 11.111111 |
Descriptive statistics
| Standard deviation | 9.7636705 |
|---|---|
| Coefficient of variation (CV) | 1.2798159 |
| Kurtosis | 13.357903 |
| Mean | 7.628965 |
| Median Absolute Deviation (MAD) | 4.9180328 |
| Skewness | 2.6698137 |
| Sum | 81530.749 |
| Variance | 95.329261 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 3614 | |
| 10 | 137 | 1.3% |
| 12.5 | 137 | 1.3% |
| 11.11111111 | 125 | 1.2% |
| 14.28571429 | 118 | 1.1% |
| 25 | 103 | 1.0% |
| 20 | 100 | 0.9% |
| 6.25 | 87 | 0.8% |
| 5 | 84 | 0.8% |
| 7.142857143 | 83 | 0.8% |
| Other values (1415) | 6099 |
| Value | Count | Frequency (%) |
| 0 | 3614 | |
| 0.537634409 | 1 | < 0.1% |
| 0.617283951 | 1 | < 0.1% |
| 0.636942675 | 1 | < 0.1% |
| 0.74074074 | 1 | < 0.1% |
| 0.793650794 | 1 | < 0.1% |
| 0.8 | 1 | < 0.1% |
| 0.840336134 | 1 | < 0.1% |
| 0.877192982 | 1 | < 0.1% |
| 0.90909091 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 100 | 12 | |
| 83.33333333 | 1 | < 0.1% |
| 80 | 1 | < 0.1% |
| 75 | 2 | < 0.1% |
| 71.42857143 | 1 | < 0.1% |
| 66.66666667 | 6 | |
| 66.66666667 | 1 | < 0.1% |
| 61.9047619 | 1 | < 0.1% |
| 61.11111111 | 1 | < 0.1% |
| 60 | 2 | < 0.1% |
Interactions
Correlations
| Durée moyenne du trajet | Nombre de circulations prévues | Nombre de trains annulés | Nombre de trains en retard au départ | Nombre de trains en retard à l'arrivée | Nombre trains en retard > 15min | Nombre trains en retard > 30min | Nombre trains en retard > 60min | Prct retard pour cause gestion en gare et réutilisation de matériel | Prct retard pour cause gestion trafic | Prct retard pour cause infrastructure | Prct retard pour cause matériel roulant | Prct retard pour cause prise en compte voyageurs (affluence, gestions PSH, correspondances) | Prct retard pour causes externes | Retard moyen de tous les trains au départ | Retard moyen de tous les trains à l'arrivée | Retard moyen des trains en retard au départ | Retard moyen des trains en retard à l'arrivée | Retard moyen trains en retard > 15 (si liaison concurrencée par vol) | Service | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Durée moyenne du trajet | 1.000 | -0.455 | -0.183 | -0.334 | -0.370 | -0.049 | -0.004 | 0.027 | -0.233 | -0.116 | -0.007 | -0.087 | -0.134 | 0.177 | -0.016 | 0.389 | 0.044 | 0.548 | 0.105 | 0.516 |
| Nombre de circulations prévues | -0.455 | 1.000 | 0.162 | 0.664 | 0.810 | 0.713 | 0.660 | 0.542 | 0.314 | 0.084 | 0.050 | 0.182 | 0.320 | 0.048 | 0.228 | -0.071 | 0.221 | -0.059 | 0.097 | 0.374 |
| Nombre de trains annulés | -0.183 | 0.162 | 1.000 | 0.154 | 0.112 | 0.070 | 0.056 | 0.044 | 0.002 | -0.077 | 0.035 | -0.025 | -0.086 | 0.100 | 0.065 | -0.038 | -0.062 | -0.099 | -0.099 | 0.071 |
| Nombre de trains en retard au départ | -0.334 | 0.664 | 0.154 | 1.000 | 0.685 | 0.615 | 0.554 | 0.470 | 0.187 | 0.213 | 0.098 | 0.045 | 0.134 | 0.082 | 0.599 | 0.096 | -0.172 | -0.040 | 0.115 | 0.153 |
| Nombre de trains en retard à l'arrivée | -0.370 | 0.810 | 0.112 | 0.685 | 1.000 | 0.902 | 0.824 | 0.681 | 0.295 | 0.238 | 0.062 | 0.088 | 0.266 | 0.025 | 0.462 | 0.340 | 0.289 | -0.030 | 0.085 | 0.252 |
| Nombre trains en retard > 15min | -0.049 | 0.713 | 0.070 | 0.615 | 0.902 | 1.000 | 0.940 | 0.795 | 0.248 | 0.145 | 0.054 | 0.096 | 0.240 | 0.120 | 0.509 | 0.521 | 0.367 | 0.257 | 0.159 | 0.173 |
| Nombre trains en retard > 30min | -0.004 | 0.660 | 0.056 | 0.554 | 0.824 | 0.940 | 1.000 | 0.873 | 0.237 | 0.076 | 0.050 | 0.110 | 0.222 | 0.160 | 0.525 | 0.557 | 0.429 | 0.422 | 0.308 | 0.143 |
| Nombre trains en retard > 60min | 0.027 | 0.542 | 0.044 | 0.470 | 0.681 | 0.795 | 0.873 | 1.000 | 0.184 | 0.042 | 0.068 | 0.085 | 0.182 | 0.172 | 0.526 | 0.574 | 0.428 | 0.566 | 0.451 | 0.151 |
| Prct retard pour cause gestion en gare et réutilisation de matériel | -0.233 | 0.314 | 0.002 | 0.187 | 0.295 | 0.248 | 0.237 | 0.184 | 1.000 | 0.018 | -0.117 | 0.108 | 0.200 | -0.147 | 0.158 | 0.022 | 0.263 | -0.029 | 0.146 | 0.054 |
| Prct retard pour cause gestion trafic | -0.116 | 0.084 | -0.077 | 0.213 | 0.238 | 0.145 | 0.076 | 0.042 | 0.018 | 1.000 | -0.132 | -0.093 | -0.012 | -0.202 | 0.133 | 0.137 | -0.069 | -0.168 | -0.049 | 0.200 |
| Prct retard pour cause infrastructure | -0.007 | 0.050 | 0.035 | 0.098 | 0.062 | 0.054 | 0.050 | 0.068 | -0.117 | -0.132 | 1.000 | -0.169 | -0.091 | -0.081 | 0.007 | 0.068 | -0.082 | 0.069 | 0.052 | 0.172 |
| Prct retard pour cause matériel roulant | -0.087 | 0.182 | -0.025 | 0.045 | 0.088 | 0.096 | 0.110 | 0.085 | 0.108 | -0.093 | -0.169 | 1.000 | -0.010 | -0.169 | 0.033 | -0.041 | 0.214 | 0.054 | 0.032 | 0.135 |
| Prct retard pour cause prise en compte voyageurs (affluence, gestions PSH, correspondances) | -0.134 | 0.320 | -0.086 | 0.134 | 0.266 | 0.240 | 0.222 | 0.182 | 0.200 | -0.012 | -0.091 | -0.010 | 1.000 | -0.155 | 0.071 | 0.002 | 0.216 | 0.012 | 0.245 | 0.105 |
| Prct retard pour causes externes | 0.177 | 0.048 | 0.100 | 0.082 | 0.025 | 0.120 | 0.160 | 0.172 | -0.147 | -0.202 | -0.081 | -0.169 | -0.155 | 1.000 | 0.043 | 0.127 | -0.023 | 0.275 | 0.101 | 0.143 |
| Retard moyen de tous les trains au départ | -0.016 | 0.228 | 0.065 | 0.599 | 0.462 | 0.509 | 0.525 | 0.526 | 0.158 | 0.133 | 0.007 | 0.033 | 0.071 | 0.043 | 1.000 | 0.523 | 0.336 | 0.283 | 0.224 | 0.037 |
| Retard moyen de tous les trains à l'arrivée | 0.389 | -0.071 | -0.038 | 0.096 | 0.340 | 0.521 | 0.557 | 0.574 | 0.022 | 0.137 | 0.068 | -0.041 | 0.002 | 0.127 | 0.523 | 1.000 | 0.339 | 0.554 | 0.284 | 0.000 |
| Retard moyen des trains en retard au départ | 0.044 | 0.221 | -0.062 | -0.172 | 0.289 | 0.367 | 0.429 | 0.428 | 0.263 | -0.069 | -0.082 | 0.214 | 0.216 | -0.023 | 0.336 | 0.339 | 1.000 | 0.348 | 0.222 | 0.000 |
| Retard moyen des trains en retard à l'arrivée | 0.548 | -0.059 | -0.099 | -0.040 | -0.030 | 0.257 | 0.422 | 0.566 | -0.029 | -0.168 | 0.069 | 0.054 | 0.012 | 0.275 | 0.283 | 0.554 | 0.348 | 1.000 | 0.585 | 0.109 |
| Retard moyen trains en retard > 15 (si liaison concurrencée par vol) | 0.105 | 0.097 | -0.099 | 0.115 | 0.085 | 0.159 | 0.308 | 0.451 | 0.146 | -0.049 | 0.052 | 0.032 | 0.245 | 0.101 | 0.224 | 0.284 | 0.222 | 0.585 | 1.000 | 0.057 |
| Service | 0.516 | 0.374 | 0.071 | 0.153 | 0.252 | 0.173 | 0.143 | 0.151 | 0.054 | 0.200 | 0.172 | 0.135 | 0.105 | 0.143 | 0.037 | 0.000 | 0.000 | 0.109 | 0.057 | 1.000 |
Missing values
A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
Sample
| Date | Service | Gare de départ | Gare d'arrivée | Durée moyenne du trajet | Nombre de circulations prévues | Nombre de trains annulés | Commentaire annulations | Nombre de trains en retard au départ | Retard moyen des trains en retard au départ | Retard moyen de tous les trains au départ | Commentaire retards au départ | Nombre de trains en retard à l'arrivée | Retard moyen des trains en retard à l'arrivée | Retard moyen de tous les trains à l'arrivée | Commentaire retards à l'arrivée | Nombre trains en retard > 15min | Retard moyen trains en retard > 15 (si liaison concurrencée par vol) | Nombre trains en retard > 30min | Nombre trains en retard > 60min | Prct retard pour causes externes | Prct retard pour cause infrastructure | Prct retard pour cause gestion trafic | Prct retard pour cause matériel roulant | Prct retard pour cause gestion en gare et réutilisation de matériel | Prct retard pour cause prise en compte voyageurs (affluence, gestions PSH, correspondances) | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 2018-01 | National | GRENOBLE | PARIS LYON | 183 | 245 | 0 | NaN | 37 | 8.027027 | 1.212245 | NaN | 23 | 46.314493 | 6.123741 | Le 9760 heurte un chevreuil vers Le-Creusot-Montchanin-TGV | 25 | 6.123741 | 13 | 6 | 17.647059 | 52.941176 | 0.000000 | 23.529412 | 5.882353 | 0.000000 |
| 1 | 2018-01 | International | PARIS LYON | ITALIE | 394 | 94 | 0 | NaN | 27 | 11.261728 | 2.997695 | NaN | 22 | 55.681818 | 11.601064 | NaN | 22 | 11.601064 | 15 | 6 | 33.333333 | 19.047619 | 23.809524 | 14.285714 | 9.523810 | 0.000000 |
| 2 | 2018-01 | National | MARSEILLE ST CHARLES | LYON PART DIEU | 106 | 557 | 7 | NaN | 133 | 6.978195 | 1.706333 | NaN | 60 | 28.920000 | 5.195333 | NaN | 40 | 5.195333 | 19 | 5 | 23.076923 | 23.076923 | 19.230769 | 23.076923 | 3.846154 | 7.692308 |
| 3 | 2018-01 | National | PARIS NORD | DUNKERQUE | 116 | 271 | 3 | NaN | 46 | 11.236594 | 1.797637 | NaN | 29 | 28.689655 | 3.738806 | NaN | 18 | 3.738806 | 9 | 4 | 35.714286 | 28.571429 | 7.142857 | 25.000000 | 3.571429 | 0.000000 |
| 4 | 2018-01 | National | ANNECY | PARIS LYON | 224 | 198 | 0 | NaN | 12 | 8.070833 | 0.489141 | NaN | 38 | 37.246053 | 8.552525 | NaN | 38 | 8.552525 | 14 | 5 | 23.809524 | 42.857143 | 9.523810 | 14.285714 | 4.761905 | 4.761905 |
| 5 | 2018-01 | National | TOULOUSE MATABIAU | PARIS MONTPARNASSE | 257 | 184 | 0 | NaN | 23 | 11.221739 | 1.193931 | NaN | 26 | 40.116667 | 7.510507 | Ce mois-ci, l'OD a été touchée par les incidents suivants :\nLe 1er : Tempête Carmen sur la façade Atlantique (52 TGV ; 1079mn)\nLe 3 : Tempête Eleonor sur l’ouest de la France (35 TGV ; 407mn)\nLe 5 : Dérangement d’une aiguille en gare de Massy TGV (57 TGV ; 1254mn)\nLe 7 : Dérangement du poste d’aiguillage de Paris Montparnasse (70 TGV ; 1490mn)\nLe 12 : Colis suspect en gare de Paris Montparnasse (32 TGV ; 499mn)\nLe 17 : Dérangement du poste d’aiguillage de Paris Montparnasse (26 TGV ; 386mn) | 26 | 7.510507 | 12 | 3 | 59.090909 | 22.727273 | 4.545455 | 9.090909 | 4.545455 | 0.000000 |
| 6 | 2018-01 | National | REIMS | PARIS EST | 46 | 230 | 1 | NaN | 93 | 7.432796 | 3.107569 | NaN | 62 | 12.817473 | 3.538937 | NaN | 20 | 3.538937 | 3 | 0 | 17.948718 | 41.025641 | 20.512821 | 5.128205 | 0.000000 | 15.384615 |
| 7 | 2018-01 | National | LYON PART DIEU | MARNE LA VALLEE | 109 | 316 | 3 | NaN | 221 | 10.314329 | 7.273376 | NaN | 64 | 37.121875 | 7.814643 | NaN | 53 | 7.814643 | 27 | 10 | 18.367347 | 34.693878 | 12.244898 | 20.408163 | 6.122449 | 8.163265 |
| 8 | 2018-01 | National | MONTPELLIER | PARIS LYON | 206 | 340 | 2 | NaN | 122 | 10.991803 | 4.073619 | NaN | 58 | 44.755747 | 7.465582 | Heurt d’un chevreuil par OUIGO 7801 vers Valence-TGV | 58 | 7.465582 | 31 | 11 | 22.000000 | 38.000000 | 12.000000 | 22.000000 | 2.000000 | 4.000000 |
| 9 | 2018-01 | International | FRANCFORT | PARIS EST | 224 | 177 | 3 | NaN | 43 | 4.619767 | 1.339751 | NaN | 26 | 25.861538 | 6.438985 | NaN | 25 | 6.438985 | 6 | 1 | 30.769231 | 15.384615 | 23.076923 | 15.384615 | 7.692308 | 7.692308 |
| Date | Service | Gare de départ | Gare d'arrivée | Durée moyenne du trajet | Nombre de circulations prévues | Nombre de trains annulés | Commentaire annulations | Nombre de trains en retard au départ | Retard moyen des trains en retard au départ | Retard moyen de tous les trains au départ | Commentaire retards au départ | Nombre de trains en retard à l'arrivée | Retard moyen des trains en retard à l'arrivée | Retard moyen de tous les trains à l'arrivée | Commentaire retards à l'arrivée | Nombre trains en retard > 15min | Retard moyen trains en retard > 15 (si liaison concurrencée par vol) | Nombre trains en retard > 30min | Nombre trains en retard > 60min | Prct retard pour causes externes | Prct retard pour cause infrastructure | Prct retard pour cause gestion trafic | Prct retard pour cause matériel roulant | Prct retard pour cause gestion en gare et réutilisation de matériel | Prct retard pour cause prise en compte voyageurs (affluence, gestions PSH, correspondances) | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 10677 | 2025-03 | National | VALENCE ALIXAN TGV | PARIS LYON | 133 | 382 | 0 | NaN | 207 | 11.333494 | 6.191056 | NaN | 66 | 46.283081 | 8.963962 | NaN | 44 | 62.975758 | 28 | 18 | 18.181818 | 28.787879 | 31.818182 | 10.606061 | 3.030303 | 7.575758 |
| 10678 | 2025-03 | National | ANGERS SAINT LAUD | PARIS MONTPARNASSE | 98 | 551 | 0 | NaN | 149 | 7.921477 | 2.226255 | NaN | 37 | 37.896847 | 1.338143 | NaN | 29 | 45.160920 | 16 | 5 | 29.729730 | 24.324324 | 10.810811 | 18.918919 | 2.702703 | 13.513514 |
| 10679 | 2025-03 | National | PARIS LYON | AIX EN PROVENCE TGV | 182 | 491 | 0 | NaN | 47 | 33.023759 | 2.866395 | NaN | 39 | 53.300000 | 4.983944 | NaN | 39 | 53.300000 | 18 | 11 | 25.641026 | 35.897436 | 7.692308 | 7.692308 | 10.256410 | 12.820513 |
| 10680 | 2025-03 | National | STRASBOURG | PARIS EST | 125 | 687 | 3 | NaN | 272 | 11.308824 | 4.554646 | NaN | 105 | 33.067778 | 5.354744 | NaN | 76 | 40.566009 | 33 | 15 | 15.238095 | 18.095238 | 31.428571 | 10.476190 | 12.380952 | 12.380952 |
| 10681 | 2025-03 | National | LAVAL | PARIS MONTPARNASSE | 89 | 242 | 0 | NaN | 67 | 12.292537 | 3.287672 | NaN | 20 | 30.876667 | 1.066185 | NaN | 10 | 52.466667 | 6 | 5 | 26.315789 | 21.052632 | 15.789474 | 21.052632 | 15.789474 | 0.000000 |
| 10682 | 2025-03 | National | PARIS LYON | TOULON | 236 | 251 | 1 | NaN | 21 | 25.972222 | 1.947133 | NaN | 19 | 47.421930 | 5.422400 | NaN | 19 | 47.421930 | 11 | 3 | 21.052632 | 36.842105 | 10.526316 | 15.789474 | 5.263158 | 10.526316 |
| 10683 | 2025-03 | National | LYON PART DIEU | MARSEILLE ST CHARLES | 105 | 507 | 1 | NaN | 223 | 13.554111 | 6.078986 | NaN | 77 | 37.317316 | 6.595652 | NaN | 63 | 42.476190 | 32 | 13 | 32.467532 | 24.675325 | 15.584416 | 14.285714 | 7.792208 | 5.194805 |
| 10684 | 2025-03 | National | PARIS EST | STRASBOURG | 119 | 679 | 9 | NaN | 71 | 15.054460 | 1.534701 | NaN | 64 | 44.179688 | 4.573209 | NaN | 45 | 57.171481 | 24 | 10 | 9.375000 | 9.375000 | 23.437500 | 29.687500 | 9.375000 | 18.750000 |
| 10685 | 2025-03 | National | PARIS LYON | LE CREUSOT MONTCEAU MONTCHANIN | 79 | 219 | 0 | NaN | 18 | 15.742593 | 1.118341 | NaN | 18 | 25.437037 | 2.848478 | NaN | 10 | 36.100000 | 5 | 1 | 5.555556 | 27.777778 | 11.111111 | 22.222222 | 11.111111 | 22.222222 |
| 10686 | 2025-03 | National | VANNES | PARIS MONTPARNASSE | 168 | 293 | 0 | NaN | 88 | 7.222727 | 2.318203 | NaN | 30 | 35.120556 | 2.629067 | NaN | 23 | 41.744203 | 13 | 4 | 26.666667 | 26.666667 | 10.000000 | 6.666667 | 13.333333 | 16.666667 |